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Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]

Home Page: https://ieeexplore.ieee.org/document/9854112/

Python 100.00%
compressed-sensing computer-vision deep-learning deep-unfolding image-processing image-restoration optimization scalability

casnet's Issues

您好！请问如何获取流程中压缩图片？

很感谢作者您在CS领域贡献的这份工作，我大受裨益，目前我也在从事相关研究。我想知道该如何获取您在Overview图中第二步骤，经过SS以及IS所得到的Initial Estimation的图片，也就是压缩后尚未恢复的图片。感谢您的回复！

您好！我在重现您的工作，恢复图片时遇到了爆显存的问题，请问该如何解决？

您好，再次请教！这次我在重构图片时，显存爆了，恢复失败。具体而言，运行的是test.py文件，但是图片是用的高分辨率遥感图像，图片尺寸为3904x1280，模型是您提供的net_params_320.pkl文件。我首先用单卡A40会爆显存，再尝试了DataParallel下4张A40还是失败，改写成DPP多卡下4张A40也是没有恢复成功。主要是在这一步model_test.py的135行,
PhiT_Phi_basic = Phi_basic.permute(0, 2, 1).matmul(Phi_basic)
出现OutOfMemory的情况。请问遇到这种高分辨率的图片该怎么恢复呢？

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